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Annotation of structural variants with reported allele frequencies and related metrics from multiple datasets using SVAFotate.

Thomas J NicholasMichael J CormierAaron R Quinlan
Published in: BMC bioinformatics (2022)
Here we demonstrate the use of SVAFotate in the classification of SVs with regards to their population frequency and illustrate how SVAFotate's annotations can be used to filter and prioritize SVs. Lastly, we detail how best to utilize these SV annotations in the analysis of genetic variation in studies of rare disease.
Keyphrases
  • rna seq
  • machine learning
  • deep learning
  • copy number
  • case control
  • single cell
  • drug induced